Emulation of dynamic multi-output simulator of risk of type-2 diabetes. - Paola Stolfi; Filippo Castiglione (BIBM, 2020)

Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices. - Paola Stolfi; Ilaria Valentini; Maria Concetta Palumbo; Paolo Tieri; Andrea Grignolio; Filippo Castiglione (BMC Bioinform., 2020)

A data-driven model for the generation of Virtual Cohorts. - Enrico Mastrostefano; Paola Stolfi; Filippo Castiglione (BIBM, 2021)

A functional data analysis approach to assess the prognostic value of SARS-CoV-2 infections surrogate data. - Paola Stolfi; Filippo Castiglione (BIBM, 2021)

Emulating complex simulations by machine learning methods. - Paola Stolfi; Filippo Castiglione (BMC Bioinform., 2021)

Adaptive Positive-Unlabelled Learning via Markov Diffusion. - Paola Stolfi; Andrea Mastropietro; Giuseppe Pasculli; Paolo Tieri; Davide Vergni (CoRR, 2021)

DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing. - Pratuat Amatya; Paola Stolfi; Flavio Lombardi; Paolo Tieri (BIBM, 2022)

An agent-based multi-level model to study the spread of antimicrobial-resistant gonorrhoea. - Paola Stolfi; Davide Vergni; Rik Oldenkamp; Constance Schultsz; Emiliano Mancini; Filippo Castiglione (BIBM, 2022)

An agent-based multi-level model to study the spread of gonorrhea in different and interacting risk groups. - Paola Stolfi; Davide Vergni; Filippo Castiglione (Frontiers Appl. Math. Stat., 2023)

NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification. - Paola Stolfi; Andrea Mastropietro; Giuseppe Pasculli; Paolo Tieri; Davide Vergni (Bioinform., 2023)